Maximum power point tracking of partially shading PV system using cuckoo search algorithm / R. S. S. A. Aboelsaud, A. I. M. Ibrahim, A. G. Garganeev
Уровень набора: International Journal of Power Electronics and Drive Systems (IJPEDS)Язык: английский.Резюме или реферат: This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC). The conventional methods are failed to track the GMPP under PSC, which decrease the reliability of the power system and increase the system losses. The performance of the CS algorithm is compared with perturb and observe (P&O) algorithm for different cases of operations of PV panels under PSC. The CS algorithm is used in this work to control directly the duty cycle of the DC-DC converter without proportional integral derivative (PID) controller. The proposed CS model can track the GMPP very accurate with high efficiency in less time under different conditions as well as in PSC..Примечания о наличии в документе библиографии/указателя: [References: 25 tit.].Тематика: электронный ресурс | труды учёных ТПУ | global maximum power point | maximum power point tracking | cuckoo search | partially shading condition | максимальная мощность | фотоэлектрические системы | алгоритмы поиска | затенение Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: 25 tit.]
This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC). The conventional methods are failed to track the GMPP under PSC, which decrease the reliability of the power system and increase the system losses. The performance of the CS algorithm is compared with perturb and observe (P&O) algorithm for different cases of operations of PV panels under PSC. The CS algorithm is used in this work to control directly the duty cycle of the DC-DC converter without proportional integral derivative (PID) controller. The proposed CS model can track the GMPP very accurate with high efficiency in less time under different conditions as well as in PSC.
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